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Most people consider ML-based langauges like Elm hard enough to learn as an adult. But according to Professor Christopher Anand of McMaster University, they work really well to introduce Computer Science to children, starting in 4th grade! In this episode, Christopher and I explore the difference between alegbraic thinking and computational (or sequential) thinking, and why this is incredibly relevant today as the "coding for all" movement gains traction.
You can view the notes for this episode online at http://futureofcoding.org/episodes/13-teaching-elm-to-4th-graders-christopher-anand.html
Support us on Patreon: https://www.patreon.com/feelingofcomputing
See omnystudio.com/listener for privacy information.
By Ivan Reese, Jimmy Miller, and Lu Wilson4.9
2727 ratings
Most people consider ML-based langauges like Elm hard enough to learn as an adult. But according to Professor Christopher Anand of McMaster University, they work really well to introduce Computer Science to children, starting in 4th grade! In this episode, Christopher and I explore the difference between alegbraic thinking and computational (or sequential) thinking, and why this is incredibly relevant today as the "coding for all" movement gains traction.
You can view the notes for this episode online at http://futureofcoding.org/episodes/13-teaching-elm-to-4th-graders-christopher-anand.html
Support us on Patreon: https://www.patreon.com/feelingofcomputing
See omnystudio.com/listener for privacy information.

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